| A mouse model of diet-induced obesity and insulin resistance. | |
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MedLine Citation:
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PMID: 22125082 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Obesity is reaching pandemic proportions in Western society. It has resulted in increasing health care burden and decreasing life expectancy. Obesity is a complex, chronic disease, involving decades of pathophysiological changes and adaptation. Therefore, it is difficult ascertain the exact mechanisms for this long-term process in humans. To circumvent some of these issues, several surrogate models are available, including murine genetic loss-of-function mutations, transgenic gain-of-function mutations, polygenic models, and different environmental exposure models. The mouse model of diet-induced obesity has become one of the most important tools for understanding the interplay of high-fat Western diets and the development of obesity. The diet-induced obesity model closely mimics the increasingly availability of the high-fat/high-density foods in modern society over the past two decades, which are main contributors to the obesity trend in human. This model has lead to many discoveries of the important signalings in obesity, such as Akt and mTOR. The chapter describes protocols for diet induced-obesity model in mice and protocols for measuring insulin resistance and sensitivity. |
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Authors:
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Chao-Yung Wang; James K Liao |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Methods in molecular biology (Clifton, N.J.) Volume: 821 ISSN: 1940-6029 ISO Abbreviation: Methods Mol. Biol. Publication Date: 2012 |
Date Detail:
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Created Date: 2011-11-29 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214969 Medline TA: Methods Mol Biol Country: United States |
Other Details:
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Languages: eng Pagination: 421-33 Citation Subset: IM |
Affiliation:
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Second Section of Cardiology, Department of Medicine, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan. |
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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